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AI-Powered Legal Document Processing and Summarization Platform
  1. case
  2. AI-Powered Legal Document Processing and Summarization Platform

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AI-Powered Legal Document Processing and Summarization Platform

blackthorn-vision
Legal

Challenges with Legacy Legal Document Processing

The organization faces significant challenges in efficiently processing and analyzing a high volume of legal documents, particularly those in Dutch, with varying ages and conditions. Traditional OCR solutions struggle with older, damaged documents and handwritten elements. Manual review is time-consuming, expensive, and prone to errors. Furthermore, summarizing lengthy legal documents for quick insights is a manual and inefficient process.

About the Client

A Dutch-based legal organization providing legal services to clients, requiring efficient and accurate processing of large volumes of legal documents.

Project Goals

  • Develop a scalable and cost-effective AI-powered solution for automated legal document processing.
  • Enable accurate extraction of text, tables, graphs, signatures, and other key elements from legal documents.
  • Facilitate the generation of concise and accurate legal case summaries in Dutch.
  • Provide flexible options for OCR processing (cloud-based and on-premise).
  • Improve efficiency and reduce manual workload for legal professionals.
  • Ensure compliance with GDPR and the AI Act.

Functional Requirements

  • Document Upload & Management
  • AI-Powered OCR (cloud and on-premise options)
  • Data Extraction (text, tables, graphs, signatures, etc.)
  • Handwritten Signature Recognition
  • Watermark & Security Marking Detection
  • Legal Case Summarization (extractive and abstractive)
  • User-Friendly Web Interface
  • Role-Based Access Control

Preferred Technologies

OpenCV
Python
Docker
React
OpenAI API (ChatGPT)
Microsoft Azure Cognitive Services (Text Summarizer, Document Intelligence)

Required Integrations

  • Existing GDPR Anonymization Tool (for future integration)

Key Non-Functional Requirements

  • Scalability to handle a large volume of documents
  • High accuracy in OCR and data extraction
  • Secure data storage and processing
  • Cost-effectiveness (both cloud and on-premise solutions)
  • Performance (fast processing times)
  • Maintainability and extensibility

Expected Business Impact

The solution will significantly improve the efficiency of legal document review, reducing processing time and costs. Automated summarization will allow legal professionals to quickly identify key information, leading to faster case analysis and improved decision-making. The flexibility of OCR options will provide cost-effective solutions for different document volumes. Reduced manual effort will free up legal professionals to focus on higher-value tasks, ultimately improving overall productivity.

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